Case Study: Brown Rudnick reduces review costs and data volumes with Reveal

Brown Rudnick cuts review data by 92% with Reveal

Brown Rudnick, an international law firm, faced challenges with a cumbersome and costly eDiscovery review process using a legacy platform. Their litigation technology team struggled with inefficient workflows, difficult access for external users, and the high expense of processing and hosting large volumes of non-responsive data. They turned to the vendor Reveal and implemented its Reveal AI platform to gain control over these discovery costs and improve the overall process.

By implementing Reveal's solution, Brown Rudnick gained the ability to filter data before it entered the formal review stage, significantly reducing dataset sizes. On one matter, this led to a 92% data reduction and resulted in 45% cost savings for their client. The Reveal platform also provided a more intuitive and collaborative environment for both internal and external users, strengthened defensibility by eliminating the risk of producing sensitive information, and gave case teams earlier insight into evidence through AI-powered analysis.

Brown Rudnick